Abstract
BACKGROUND: Special AT-rich sequence-binding protein 2 (SATB2) is a novel diagnostic marker of colorectal cancer (CRC), and loss of SATB2 has been linked to poor survival from the disease. In this study, we validated the prognostic ability of SATB2 expression in a large, prospective CRC cohort.
METHODS: Immunohistochemical SATB2 expression was assessed in 527 incident CRC cases from the Malmö Diet and Cancer Study. Kaplan-Meier analysis and Cox proportional hazards modelling were used to explore the impact of SATB2 expression on cancer-specific survival (CSS) and overall survival (OS).
RESULTS: High SATB2 expression was associated with a prolonged CSS in the full cohort (hazard ratio (HR)=0.61; 95% CI 0.41-0.92) and in colon cancer (HR=0.39; 95% CI 0.20-0.75), remaining significant in multivariable analysis of colon cancer (HR=0.49; 95% CI 0.25-0.96), with similar findings for OS. In curatively resected stage III-IV patients, a significant benefit from adjuvant and/or neoadjuvant therapy was observed for SATB2 high tumours (P(interaction)=0.037 for OS) and high SATB2 expression in rectal cancer correlated with an enhanced effect of neoadjuvant therapy (P(interaction)=0.033 for OS).
CONCLUSION: High SATB2 expression is an independent marker of good prognosis in colon cancer and may modulate sensitivity to chemotherapy and radiation.
Original language | English |
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Pages (from-to) | 931-938 |
Number of pages | 8 |
Journal | British Journal of Cancer |
Volume | 106 |
Issue number | 5 |
DOIs | |
Publication status | Published - 2012 Feb 28 |
Bibliographical note
The information about affiliations in this record was updated in December 2015.The record was previously connected to the following departments: Pathology, (Lund) (013030000)
Subject classification (UKÄ)
- Cancer and Oncology
Free keywords
- Aged
- Aged, 80 and over
- Biomarkers, Tumor
- Cohort Studies
- Colorectal Neoplasms
- Gene Expression Regulation, Neoplastic
- Humans
- Kaplan-Meier Estimate
- Matrix Attachment Region Binding Proteins
- Neoplasm Staging
- Prognosis
- Proportional Hazards Models
- Transcription Factors
- Treatment Outcome
- Journal Article
- Research Support, Non-U.S. Gov't